一种改进的Hough变换在建筑物提取中的算法研究

One kind of Improvement Hough Transformation in Building Extraction Algorithm Research

Hough变换作为图形检测提取的经典工具,有着其他算法无法比拟的优越性,比如对噪声不敏感,有着良好的容错性与鲁棒性。Hough变换也被应用到遥感图像边缘提取中。但是传统的Hough变换计算量大,占用内存空间大。本文提出了一种改进的Hough变换算法在建筑物边缘直线段检测中的应用,重点对改进的Hough变换算法原理进行了分析,改进的Hough变换算法可减小计算量,并通过实验表明其提取精度较高。

The Hough transformation takes the pattern detection extraction the classical tool,There are other algorithms incomparable superiority,Such as noise,have good fault-tolerance and robustness.Hough transform were applied to the remote sensing image edge extraction.But the Hough transform the traditional calculation,memory space.This paper puts forward a kind of Hough transform algorithm is improved in building straight edge detection,the key to improving the application of the principle of Hough transform algorithm is analyzed,and the improving Hough transform algorithm can reduce the computational complexity,and through the experiments show that the extraction accuracy.